Electronic medical records (EMRs) were originally designed to facilitate clinical decision making by systematizing the collection of patient health information and generation of documentation in real-time. The widespread adoption of EMRs in health systems has led to unprecedented availability of big health data, which has enabled new research activities targeting precision medicine and precision public health. The Centre for Health Informatics (CHI) at the University of Calgary was established to pursue EMR-based research activities. In this webinar we will introduce the Centre for Health Informatics (CHI) and discuss our experiences with using EMR for precision medicine research.

We discuss our manuscript describing a city-wide inpatient EMR system used in Calgary hospitals called AllScripts Sunrise Clinical Manager (SCM), published in IJPDS earlier this year. This work outlines the SCM EMR data components, methodological (machine learning and natural language processing), and analytical considerations and approaches.

Within the past year, CHI has demonstrated its EMR-related research capacities by completing some key projects. We discuss some of these projects, focusing not only on the techniques and results themselves but also the technical requirements and logistical challenges associated with this work.

You may find the original International Journal of Population Data Science article here: [ Ссылка ]

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